PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

9.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (65 utterances, 218 words searched).

  1. il se sauve parc(e) que (il) y a trop de bruit . MOT · french/unkeler_pie07.cha, line 139 · Pierre 1;06
  2. qu'est-ce que tu veux ? MOT · french/unkeler_pie07.cha, line 170 · Pierre 1;06
  1. french/unkeler_pie07.cha, line 139 · Pierre, 1;6.25
    MOTun lapin ?
    MOTle petit lapin ?
    MOT*MOT: il se sauve parc(e) que (il) y a trop de bruit .
    CHIwww .
    MOTnon là (il) y a pas d(e) lapin !
  2. french/unkeler_pie07.cha, line 170 · Pierre, 1;6.25
    MOToh elle est belle la balle .
    CHIwww .
    MOT*MOT: qu'est-ce que tu veux ?
    MOTelle est où la balle ?
    CHIwww .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Pierre french9.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/unkeler_pie07.chaPierre 1;6.25218229.17

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. que2 · 100.0%